Fair, perhaps the cursive analogy is too strong, though I'm sure that cursive still has a role in research of historical documents. IPA still has an important role in specialized situations, but I don't quite think it's something that should be known for the general public (e.g. the average wikipedia reader).
I guess I'm an anomaly in that I read far more books than watching movies, but I agree that most consumers will want a variety of music and shows, unlike books. However, isn't the price point ($35/month), which is 4x more than Spotify, roughly in line with the price for a single book, which is roughly 4x an album.
I guess the main difference is not that the price ratio between subscription and individual items is off, but rather that most consumers don't want 1 book a month. It's a bummer that they don't give people an option, but I'm still a fan of Safari...and I hope this move will mean they drastically improve the Safari app, much like Netflix has doubled down on Streaming now that they don't do DVDs.
Having purchased many books thru O'Reilly, and now using Safari Online - I'm a huge fan of this move. Feels to me like going from iTunes to Spotify, or Netflix DVDs to Streaming.
Fair point - the set of technologies is based off the teams we work closest with, which admittedly have a bias towards open source and Linux. So far, our map is far from comprehensive, so appreciate the suggestions (exactly what we're looking for by show HN).
To that point, just added CosmosDB, and plan to add others soon.
I'm glad that Microsoft is throwing this "hail mary" - topological QCs could be much trickier to build initially, but they scale much better since they don't suffer from the same type of decoherence issues as others.
We don't have a fixed syllabus since we don't operate like a school per se. Instead, the Fellows choose a project and have to make engineering tradeoffs about which tools to use. With that said, most of the past participants focused on distributed systems like Hadoop, Spark, Flink, Kafka, and NoSQL DBs. You can check out past projects on the blog (http://insightdataengineering.com/blog/) and the past Fellows are here (http://www.insightdataengineering.com/fellows.html)
Interesting as something to explore, but I'm curious if a network of self-driving cars can be optimized to recognize and avoid these situations altogether.
I'm from Insight - our program is kept free for our Fellows because the companies that we partner with pay for the Fellowship. Rather than classes, we believe that the best way for advanced engineers to learn the detailed nuances of these tools is to use them, so the concept is to learn them by building a data platform. You're right that it's really difficult to understand distributed systems in a few weeks, but our Fellows already have several years of programming, so they have been able to pick up a general understanding quite quickly.